model temperature should be set to a low number, since no creativity is needed, and we use the gemini-pro default top-K and top-P values, which effectively disable both settings (see ‘LLM Output Configuration’ 1_1_movie_classification Goal Classify movie reviews as positive, neutral or negative. Model gemini-pro Temperature 0.1 Token Limit 5 Top-K N/A Top-P 1 Prompt Classify movie reviews as POSITIVE, NEUTRAL same gemini-pro model configuration settings as before, other than increasing the token limit to accommodate the need for a longer response. Goal Parse pizza orders to JSON Model gemini-pro Temperature

NVIDIA Quarterly Revenue, $MM Note: Gaming includes PC & console gaming. Other includes Enterprise / Pro Vis, Auto, & OEM / Other. NVIDIA’s fiscal year ends January 31. The figures in the title compare FQ4:25 $0 (Free) / $20 (Plus) / $200 (Pro) per Month xAI Grok $0 (Free) / $3 (Basic) / $8 (Premium) / $40 (Premium+) per Month1 Google Gemini $0 (Free) / $19.99 (AI Pro) / $250 (AI Ultra) per Month (5/25) Anthropic Claude $0 (Free) / $172 (Plus) / $100 (Max) per Month Perplexity $0 (Free) / $20 (Pro) per Month AI – New Entrants = Rapidly Laying Groundwork190 …AI Monetization…Foundation Models =

Target Hardware/Model Options Codegen CPU arm_cpu pixel2 (snapdragon 835), mate10/mate10pro (kirin 970), p20/p20pro (kirin 970) -target=arm64-linux-android -mattr=+neon llvm firefly rk3399, rock960, ultra96

19 Model Overall Reasoning 中文推理 Language 中文语言 Avg. Math. Logi. Avg. Fund. Chi. Open. Writ. Role. Pro. 模型 总分 推理 总分 数学 计算 逻辑 推理 语言 总分 基本 任务 中文 理解 综合 问答 文本 写作 角色 扮演 专业 能力 GPT-4-1106-Preview 8.01 7.73 76 7.44 7.58 7.53 GPT-3.5-Turbo-0613 6.08 5.35 5.68 5.02 6.82 6.71 5.81 7.29 7.03 7.28 6.77 ChatGLM-Pro（智谱清言） 5.83 4.65 4.54 4.75 7.01 6.51 6.76 7.47 7.07 7.34 6.89 SparkDesk-V2（讯飞星火） 5.74 4.73 4.71 4.74 Jayhawker was a term applied to anti-slavery militant bands from a certain US state that clashed with pro-slavery factions from Missouri. Which state is this, sometimes referred to as the Jayhawk State? A:

告，允许开发者 自由使用、修改和分发其技术，促进了AI领域的创新和协作。 优势 挑战 测试评估：对标顶尖，能力出众  推理任务表现 • 教育类知识问答能力突出：在 MMLU、MMLU-Pro等测试中， DeepSeek R1成绩超越 OpenAI-4o等其他闭源模型。 • 数学推理能力对标顶尖模型：DeepSeek R1 在 AIME 2024 基准测试中得 分 79.8%（pass@1），略优于 向用户开 放其基础功能。o3-mini专注于数学、科学和工程等领域的复 杂推理任务，其性能和成本效益均优于之前的o1系列。 发布新一代Gemini 2.0系列模型，包括Gemini 2.0 Pro、 Gemini 2.0 Flash、Gemini 2.0 Flash-Lite和Gemini 2.0 Flash Thinking，旨在提升AI能力并提高性价比。 谷 歌  中美技术竟合

存储: 5GB 简单⽂本⽣成、基础代 码补全 7B - RAM: 8-10GB - GPU: GTX 1680（4-bit量 化） - 存储: 8GB - 内存: 16GB（M2 Pro/M3） - 存储: 8GB 中等复杂度问答、代码 调试 14B - RAM: 24GB - GPU: RTX 3090（24GB VRAM） - 存储: 20GB - 内存: 32GB（M3